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Zero-shot Generalization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/983632847/sam-for-videos

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Segment Anything for Videos: A Systematic Survey

https://github.com/AVC2-UESTC/OV2VSS

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Towards Open-Vocabulary Video Semantic Segmentation

https://github.com/Aarhus-RadOnc-AI/MedSAM_multimodality_HNC_GTV_segmentation

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Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images

https://github.com/Alibaba-NLP/EcomGPT

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EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce

https://github.com/CHLee0801/KORANI-Instruction-Tuning

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Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning

https://github.com/CVLAB-Unibo/neural-disparity-refinement

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Neural Disparity Refinement for Arbitrary Resolution Stereo

https://github.com/Cranial-XIX/llm-pddl

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LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

https://github.com/ForoughA/recursiveMemNet

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Compositional Generalization with Tree Stack Memory Units

https://github.com/FoundationVision/GLEE

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General Object Foundation Model for Images and Videos at Scale

https://github.com/FoundationVision/VAR

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Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

https://github.com/HEPIUSLAB/ultrasound_spinal_cord_dataset

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A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

https://github.com/HanLingsgjk/CSCV

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ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video

https://github.com/KieDani/SpinAndTrajectoryTableTennis

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Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer

https://github.com/LinxiFan/SECANT

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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

https://github.com/ManifoldRG/MultiNet

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Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments

https://github.com/MedHK23/MedViLaM

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MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

https://github.com/NVIDIA/Megatron-LM

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InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

https://github.com/NVlabs/FoundationStereo

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FoundationStereo: Zero-Shot Stereo Matching

https://github.com/OpenDriveLab/DetAny3D

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Detect Anything 3D in the Wild

https://github.com/RasaHQ/STAR

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STAR: A Schema-Guided Dialog Dataset for Transfer Learning

https://github.com/RetroCirce/Zero_Shot_Audio_Source_Separation

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Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data

https://github.com/SEU-VIPGroup/Understanding_Vision_Tasks

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Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization

https://github.com/TapasKumarDutta1/SAM_Mamba_2025

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SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

https://github.com/TorchCraft/TorchCraftAI

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A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning

https://github.com/TripleJoy/SAM2MOT

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SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation

https://github.com/UKPLab/acl2024-triple-encoders

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Triple-Encoders: Representations That Fire Together, Wire Together

https://github.com/agrimgupta92/metamorph

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MetaMorph: Learning Universal Controllers with Transformers

https://github.com/ahjwang/messenger-emma

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Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning

https://github.com/ai4bharat/indicvoices-r

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IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

https://github.com/ai4co/awesome-fm4co

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MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

https://github.com/aim-uofa/geobench

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GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models

https://github.com/alirezasalehy/crane

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Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections

https://github.com/alpc91/sgrl

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Subequivariant Graph Reinforcement Learning in 3D Environments

https://github.com/amy-hyunji/lora-for-retrieval

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Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders

https://github.com/angknpng/sammese

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Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

https://github.com/anguyen8/image-diff

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Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence

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