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07/03/2023
JourneyDB: A Benchmark for Generative Image Understanding
While recent advancements in vision-language models have revolutionized ...
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06/08/2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
This paper introduces a novel transformer-based network architecture, Fl...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
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07/19/2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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05/17/2022
Vision Transformer Adapter for Dense Predictions
This work investigates a simple yet powerful adapter for Vision Transfor...
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03/31/2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
3D visual perception tasks, including 3D detection and map segmentation ...
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03/30/2022
FlowFormer: A Transformer Architecture for Optical Flow
We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...
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11/06/2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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10/08/2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
DETR has been recently proposed to eliminate the need for many hand-desi...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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11/23/2016
Deep Feature Flow for Video Recognition
Deep convolutional neutral networks have achieved great success on image...
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05/20/2016
