https://github.com/2024-MindSpore-1/Code5/tree/main/advanced_east
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Papers with Code 아카이브
Spatial Reasoning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2024-MindSpore-1/Code6/tree/main/advanced_east
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
https://github.com/AUCOHL/RTL-Repo
https://github.com/AlphaJia/tf-faster-rcnn
https://github.com/ChestnutLi/tf-faster-rcnn
https://github.com/GuessWhatGame/guesswhat
GuessWhat?! Visual object discovery through multi-modal dialogue
https://github.com/H-Freax/ThinkGrasp
https://github.com/Kenneth-Wong/tf-faster-rcnn
https://github.com/KyeongmoonKim/sb
https://github.com/LLaVA-VL/LLaVA-NeXT
https://github.com/LaVi-Lab/Video-3D-LLM
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors
https://github.com/MindCode-4/code-1/tree/main/vilt
https://github.com/PengchengAi/tf-faster-rcnn-pcai
https://github.com/PierreMarza/autonerf
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
https://github.com/PythonZhengbinChen/tf-faster-rcnn-cpu
https://github.com/UCSB-VRL/GTNet
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
https://github.com/VegB/VLN-Transformer
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
https://github.com/YanjieZe/Improved-3D-Diffusion-Policy
PointVLA: Injecting the 3D World into Vision-Language-Action Models
https://github.com/YitianShi/vMF-Contact
https://github.com/ZhangYiqun018/StickerConv
https://github.com/achiyaj/vqa-sandbox
https://github.com/albertotestoni/ndq_visual_objects
https://github.com/bareblackfoot/faster-rcnn.selection
https://github.com/bareblackfoot/lddp-tf-faster-rcnn
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/buaaYYC/faster-rcnn-tensorflow
https://github.com/camenduru/llava-colab
https://github.com/chat-3d/chat-3d-v2
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
https://github.com/clic-lab/ciff
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
https://github.com/computer-vision-in-the-wild/cvinw_readings
https://github.com/csmiler/tf-faster-rcnn-cpu
https://github.com/dannofield/CarND-Extended-Kalman-Filter
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs
https://github.com/dar-tau/lra-benchmark
https://github.com/daxiapazi/faster-rcnn
https://github.com/dinhvietcuong1996/icme25-inova
https://github.com/emrgnt-cmplxty/zero-shot-replication
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.