Alternatives and similar repositories for Kangaroo

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

• longvideobench / LongVideoBench
  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.
  ☆112Updated last year
• SliMM-X / CoMP-MM
  Official repository of "CoMP: Continual Multimodal Pre-training for Vision Foundation Models"
  ☆39Updated 8 months ago
• Cooperx521 / PyramidDrop
  (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
  ☆134Updated 9 months ago
• zai-org / LVBench
  [ICCV 2025] LVBench: An Extreme Long Video Understanding Benchmark
  ☆131Updated 5 months ago
• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆52Updated 9 months ago
• 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
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆150Updated 2 months ago
• imagegridworth / IG-VLM
  ☆140Updated last year
• llyx97 / TempCompass
  [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …
  ☆127Updated 8 months ago
• Ahnsun / merlin
  [ECCV2024] Official code implementation of Merlin: Empowering Multimodal LLMs with Foresight Minds
  ☆96Updated last year
• PKU-YuanGroup / Video-Bench
  A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!
  ☆136Updated last year
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆181Updated last year
• Open-Reasoner-Zero / Open-Vision-Reasoner
  [NeurIPS 2025] The official repository for our paper, "Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reason…
  ☆152Updated 3 months ago
• baaivision / DenseFusion
  DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
  ☆158Updated last year
• whwu95 / FreeVA
  FreeVA: Offline MLLM as Training-Free Video Assistant
  ☆67Updated last year
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆99Updated last year
• rese1f / aurora
  [ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
  ☆135Updated 6 months ago
• Visual-AI / PruneVid
  [ACL 2025] PruneVid: Visual Token Pruning for Efficient Video Large Language Models
  ☆63Updated 7 months ago
• 42Shawn / LLaVA-PruMerge
  LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
  ☆159Updated 2 months ago
• QQ-MM / Video-CCAM
  A lightweight flexible Video-MLLM developed by TencentQQ Multimedia Research Team.
  ☆74Updated last year
• DCDmllm / Momentor
  ☆80Updated last year
• JierunChen / Ref-L4
  Evaluation code for Ref-L4, a new REC benchmark in the LMM era
  ☆52Updated 11 months ago
• foundation-multimodal-models / CAPTURE
  ☆81Updated last year
• appletea233 / Temporal-R1
  Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency
  ☆59Updated 6 months ago
• TimeMarker-LLM / TimeMarker
  A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability
  ☆104Updated last year
• KD-TAO / DyCoke
  [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
  ☆94Updated last month
• SCZwangxiao / video-ReTaKe
  Official implementation of paper ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding
  ☆38Updated 9 months ago
• JoeLeelyf / OVO-Bench
  [CVPR 2025] OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
  ☆111Updated 5 months ago
• Ziyang412 / VideoTree
  Code for CVPR25 paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"
  ☆150Updated 6 months ago
• OpenGVLab / MMT-Bench
  [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
  ☆115Updated last year