Alternatives and similar repositories for BURST-benchmark

Users that are interested in BURST-benchmark are comparing it to the libraries listed below

• sukjunhwang / VITA
  VITA: Video Instance Segmentation via Object Token Association (NeurIPS 2022)
  ☆104Updated last year
• lxtGH / Tube-Link
  [ICCV-2023]-Universal Video Segmentaion For VSS, VPS and VIS
  ☆109Updated last year
• KainingYing / CTVIS
  [ICCV 2023] CTVIS: Consistent Training for Online Video Instance Segmentation
  ☆77Updated last year
• miranheo / GenVIS
  [CVPR'23] A Generalized Framework for Video Instance Segmentation
  ☆131Updated last year
• zhang-tao-whu / DVIS_Plus
  ☆127Updated last year
• haochenheheda / LVVIS
  Large-Vocabulary Video Instance Segmentation dataset
  ☆95Updated last year
• z-x-yang / AOT
  Associating Objects with Transformers for Video Object Segmentation
  ☆142Updated last year
• zhang-tao-whu / DVIS
  DVIS: Decoupled Video Instance Segmentation Framework
  ☆153Updated last year
• jiawen-zhu / TrackGPT
  Tracking with Human-Intent Reasoning
  ☆72Updated 11 months ago
• Surrey-UP-Lab / RegionSpot
  Recognize Any Regions
  ☆121Updated 9 months ago
• hkchengrex / vos-benchmark
  Fast and general video object segmentation evaluation.
  ☆35Updated last year
• sukjunhwang / IFC
  Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)
  ☆93Updated last year
• clin1223 / VLDet
  [ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）
  ☆189Updated last year
• VIPSeg-Dataset / VIPSeg-Dataset
  CVPR2022: Large-scale Video Panoptic Segmentation in the Wild: A Benchmark
  ☆144Updated 2 years ago
• TRI-ML / VOST
  Code for the VOST dataset
  ☆26Updated 2 years ago
• lxtGH / Video-K-Net
  [CVPR-2022 (oral)]-Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
  ☆156Updated 2 years ago
• V3Det / V3Det
  ☆112Updated last year
• QingZhong1996 / Awesome-Video-Instance-Segmentation-Papers
  ☆37Updated 2 years ago
• shvdiwnkozbw / SSL-UVOS
  [ECCV 2024] Code for Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation
  ☆33Updated 7 months ago
• wudongming97 / OnlineRefer
  [ICCV 2023] OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
  ☆54Updated 2 years ago
• CVMI-Lab / CoDet
  (NeurIPS2023) CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
  ☆118Updated last year
• lxa9867 / R2VOS
  Robust Referring Video Object Segmentation with Cyclic Structural Consistency [ICCV 2023]
  ☆30Updated last year
• janghyuncho / DECOLA
  Code release for "Language-conditioned Detection Transformer"
  ☆87Updated last year
• OmkarThawakar / MSSTS-VIS
  Multi-Scale Spatio-Temporal Attention based Video Instance Segmentation
  ☆40Updated 3 years ago
• Ali2500 / TarViS
  ☆51Updated 2 years ago
• yuhangzang / OV-DETR
  [Under preparation] Code repo for "Open-Vocabulary DETR with Conditional Matching" (ECCV 2022)
  ☆234Updated 3 years ago
• yongliu20 / GSFM
  [ECCV2022] Global Spectral Filter Memory Network for Video Object Segmentation
  ☆41Updated 3 years ago
• IDEA-Research / DQ-DETR
  [AAAI 2023] DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
  ☆57Updated 2 years ago
• jianzongwu / betrayed-by-captions
  (ICCV 2023) Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
  ☆47Updated last year
• huzhengdongcs / DAC-DETR
  [NIPS2023] This is an official implementation of paper "DAC-DETR: Divide the Attention Layers and Conquer".
  ☆58Updated last year