Alternatives and similar repositories for ETBench

Users that are interested in ETBench are comparing it to the libraries listed below

• DCDmllm / Momentor
  ☆80Updated last year
• yellow-binary-tree / HawkEye
  Official implementation of HawkEye: Training Video-Text LLMs for Grounding Text in Videos
  ☆45Updated last year
• appletea233 / Temporal-R1
  Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency
  ☆59Updated 6 months ago
• Becomebright / GroundVQA
  Official PyTorch code of GroundVQA (CVPR'24)
  ☆64Updated last year
• TimeMarker-LLM / TimeMarker
  A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability
  ☆104Updated last year
• hshjerry / VideoEspresso
  [CVPR 2025 Oral] VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
  ☆131Updated 4 months ago
• HengLan / CGSTVG
  [CVPR 2024] Context-Guided Spatio-Temporal Video Grounding
  ☆64Updated last year
• callsys / ControlCap
  [ECCV 2024] ControlCap: Controllable Region-level Captioning
  ☆80Updated last year
• xiaomi-research / time-r1
  [NeurIPS'25] Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
  ☆68Updated last week
• Share14 / ShareGemini
  ☆32Updated last year
• whwu95 / FreeVA
  FreeVA: Offline MLLM as Training-Free Video Assistant
  ☆67Updated last year
• farewellthree / BT-Adapter
  [CVPR 2024] Official PyTorch implementation of the paper "One For All: Video Conversation is Feasible Without Video Instruction Tuning"
  ☆35Updated last year
• WHB139426 / Grounded-Video-LLM
  [EMNLP 2025 Findings] Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
  ☆138Updated 4 months ago
• qirui-chen / MultiHop-EgoQA
  [AAAI 2025] Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos
  ☆29Updated 6 months ago
• rxtan2 / Koala-video-llm
  ☆36Updated last year
• JoeLeelyf / OVO-Bench
  [CVPR 2025] OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
  ☆111Updated 5 months ago
• mengcaopku / DCNet
  [ACM MM 22] Correspondence Matters for Video Referring Expression Comprehension
  ☆15Updated 3 years ago
• Visual-AI / PruneVid
  [ACL 2025] PruneVid: Visual Token Pruning for Efficient Video Large Language Models
  ☆63Updated 7 months ago
• jy0205 / STCAT
  [NeurIPS 2022] Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
  ☆53Updated last year
• doc-doc / NExT-GQA
  Can I Trust Your Answer? Visually Grounded Video Question Answering (CVPR'24, Highlight)
  ☆83Updated last year
• dhg-wei / TOPA
  (NeurIPS 2024 Spotlight) TOPA: Extend Large Language Models for Video Understanding via Text-Only Pre-Alignment
  ☆30Updated last year
• showlab / VideoLISA
  [NeurlPS 2024] One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
  ☆143Updated last year
• Hon-Wong / Elysium
  [ECCV 2024] Elysium: Exploring Object-level Perception in Videos via MLLM
  ☆86Updated last year
• takomc / amp
  【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"
  ☆20Updated last year
• Ahnsun / merlin
  [ECCV2024] Official code implementation of Merlin: Empowering Multimodal LLMs with Foresight Minds
  ☆96Updated last year
• jiyt17 / IDA-VLM
  [ICLR 2025] IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
  ☆36Updated last year
• egoschema / EgoSchema
  ☆105Updated 11 months ago
• facebookresearch / ego4d-goalstep
  Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities (NeurIPS 2023)
  ☆52Updated last year
• yonseivnl / vlm-rlaif
  ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
  ☆76Updated last year
• linkangheng / Video-UTR
  [ICLR2025] Official code implementation of Video-UTR: Unhackable Temporal Rewarding for Scalable Video MLLMs
  ☆61Updated 9 months ago