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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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03/27/2023
ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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11/27/2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection
Existing object detection methods are bounded in a fixed-set vocabulary ...
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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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07/14/2022
Towards Grand Unification of Object Tracking
We present a unified method, termed Unicorn, that can simultaneously sol...
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01/03/2022
Language as Queries for Referring Video Object Segmentation
Referring video object segmentation (R-VOS) is an emerging cross-modal t...
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11/29/2021
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
A typical pipeline for multi-object tracking (MOT) is to use a detector ...
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10/13/2021
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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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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01/21/2021
Trans2Seg: Transparent Object Segmentation with Transformer
This work presents a new fine-grained transparent object segmentation da...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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12/10/2020
OneNet: Towards End-to-End One-Stage Object Detection
End-to-end one-stage object detection trailed thus far. This paper disco...
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11/25/2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
We present Sparse R-CNN, a purely sparse method for object detection in ...
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09/29/2019
PolarMask: Single Shot Instance Segmentation with Polar Representation
In this paper, we introduce an anchor-box free and single shot instance ...
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09/22/2019
Double Anchor R-CNN for Human Detection in a Crowd
Detecting human in a crowd is a challenging problem due to the uncertain...
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09/16/2019