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07/21/2023
Enhancing Your Trained DETRs with Box Refinement
We present a conceptually simple, efficient, and general framework for l...
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07/07/2023
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
Instruction tuning large language model (LLM) on image-text pairs has ac...
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05/18/2023
Going Denser with Open-Vocabulary Part Segmentation
Object detection has been expanded from a limited number of categories t...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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03/30/2023
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Contrastive learning methods train visual encoders by comparing views fr...
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11/17/2022
DiffusionDet: Diffusion Model for Object Detection
We propose DiffusionDet, a new framework that formulates object detectio...
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06/17/2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Transformer has achieved great successes in learning vision and language...
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05/26/2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Although the pre-trained Vision Transformers (ViTs) achieved great succe...
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09/18/2021
Towards High-Quality Temporal Action Detection with Sparse Proposals
Temporal Action Detection (TAD) is an essential and challenging topic in...
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07/21/2021
CycleMLP: A MLP-like Architecture for Dense Prediction
This paper presents a simple MLP-like architecture, CycleMLP, which is a...
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12/10/2019