research
∙
07/01/2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Filter pruning simultaneously accelerates the computation and reduces th...
share
research
∙
06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
research
∙
03/15/2023
Active Teacher for Semi-Supervised Object Detection
In this paper, we study teacher-student learning from the perspective of...
research
∙
09/25/2022
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement
Modeling sparse and dense image matching within a unified functional cor...
research
∙
08/27/2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
This paper focuses on the limitations of current over-parameterized shad...
research
∙
06/22/2022
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Open-vocabulary object detection (OVD) aims to scale up vocabulary size ...
research
∙
06/14/2022
Efficient Decoder-free Object Detection with Transformers
Vision transformers (ViTs) are changing the landscape of object detectio...
research
∙
06/02/2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
U-Nets have achieved tremendous success in medical image segmentation. N...
research
∙
05/23/2022
Super Vision Transformer
We attempt to reduce the computational costs in vision transformers (ViT...
research
∙
04/02/2022
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
Pixel synthesis is a promising research paradigm for image generation, w...
research
∙
03/30/2022
SeqTR: A Simple yet Universal Network for Visual Grounding
In this paper, we propose a simple yet universal network termed SeqTR fo...
research
∙
03/08/2022
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Light-weight super-resolution (SR) models have received considerable att...
research
∙
03/08/2022
Coarse-to-Fine Vision Transformer
Vision Transformers (ViT) have made many breakthroughs in computer visio...
research
∙
01/26/2022
Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) has achieved substantial progres...
research
∙
12/10/2021
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to learn object locali...
research
∙
09/09/2021