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08/20/2023
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
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08/14/2023
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
Vision-Language Pretraining (VLP) has shown impressive results on divers...
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08/13/2023
CLE Diffusion: Controllable Light Enhancement Diffusion Model
Low light enhancement has gained increasing importance with the rapid de...
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04/03/2023
Disentangled Pre-training for Image Matting
Image matting requires high-quality pixel-level human annotations to sup...
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03/09/2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
The goal of continual learning is to improve the performance of recognit...
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11/13/2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Incremental or continual learning has been extensively studied for image...
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07/27/2022
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding
In this paper, we investigate how to achieve better visual grounding wit...
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06/17/2022
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval
Our goal in this research is to study a more realistic environment in wh...
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06/12/2022
FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens
Fisheye lens gains increasing applications in computational photography ...
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04/18/2022
Cylin-Painting: Seamless 360° Panoramic Image Outpainting and Beyond with Cylinder-Style Convolutions
Image outpainting gains increasing attention since it can generate the c...
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04/07/2022
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Mining precise class-aware attention maps, a.k.a, class activation maps,...
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03/22/2022
Associating Objects with Scalable Transformers for Video Object Segmentation
This paper investigates how to realize better and more efficient embeddi...
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11/11/2021
Clicking Matters:Towards Interactive Human Parsing
In this work, we focus on Interactive Human Parsing (IHP), which aims to...
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09/09/2021
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks
In this paper, we aim to advance the research of multi-modal pre-trainin...
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08/26/2021
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
This work targets designing a principled and unified training-free frame...
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08/19/2021
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration
Superpixel segmentation has recently seen important progress benefiting ...
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07/30/2021
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining
Nowadays, customer's demands for E-commerce are more diversified, which ...
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06/20/2021
ReGO: Reference-Guided Outpainting for Scenery Image
We aim to tackle the challenging yet practical scenery image outpainting...
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06/08/2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is receiving great attention due...
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06/04/2021
Associating Objects with Transformers for Video Object Segmentation
This paper investigates how to realize better and more efficient embeddi...
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06/04/2021
Few-Shot Segmentation via Cycle-Consistent Transformer
Few-shot segmentation aims to train a segmentation model that can fast a...
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06/02/2021
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims to segment video objects...
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05/15/2021
Cross-Modal Progressive Comprehension for Referring Segmentation
Given a natural language expression and an image/video, the goal of refe...
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01/26/2021
AINet: Association Implantation for Superpixel Segmentation
Recently, some approaches are proposed to harness deep convolutional net...
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11/25/2020
Delving Deep into Label Smoothing
Label smoothing is an effective regularization tool for deep neural netw...
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10/31/2020
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to train a model performing s...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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10/13/2020
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
This paper investigates the principles of embedding learning to tackle t...
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10/01/2020
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Referring image segmentation aims at segmenting the foreground masks of ...
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08/19/2020
DONet: Dual Objective Networks for Skin Lesion Segmentation
Skin lesion segmentation is a crucial step in the computer-aided diagnos...
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08/12/2020
Inter-Image Communication for Weakly Supervised Localization
Weakly supervised localization aims at finding target object regions usi...
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06/17/2020
Sketch-Guided Scenery Image Outpainting
The outpainting results produced by existing approaches are often too ra...
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06/09/2020
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Recently, remarkable progress has been made in weakly supervised object ...
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05/22/2020
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Deep Neural Network has shown great strides in the coarse-grained image ...
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05/18/2020
Omni-supervised Facial Expression Recognition: A Simple Baseline
In this paper, we target on advancing the performance in facial expressi...
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04/21/2020
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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04/14/2020
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
One fundamental challenge of vehicle re-identification (re-id) is to lea...
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04/02/2020
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
Learning segmentation from synthetic data and adapting to real data can ...
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03/30/2020
Laplacian Denoising Autoencoder
While deep neural networks have been shown to perform remarkably well in...
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03/30/2020
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Interactive video object segmentation (iVOS) aims at efficiently harvest...
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03/18/2020
Collaborative Video Object Segmentation by Foreground-Background Integration
In this paper, we investigate the principles of embedding learning betwe...
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03/18/2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
We consider the problem of unsupervised domain adaptation for semantic s...
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02/27/2020
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
We consider the problem of cross-view geo-localization. The primary chal...
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01/05/2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
The success of deep learning in visual recognition tasks has driven adva...
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11/19/2019
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Weakly supervised semantic segmentation is a challenging task as it only...
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10/22/2019
Self-Correction for Human Parsing
Labeling pixel-level masks for fine-grained semantic segmentation tasks,...
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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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11/28/2018
CCNet: Criss-Cross Attention for Semantic Segmentation
Long-range dependencies can capture useful contextual information to ben...
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11/26/2018
One Shot Domain Adaptation for Person Re-Identification
How to effectively address the domain adaptation problem is a challengin...
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11/23/2018
