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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes

코드

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

https://github.com/jazzcharles/cream

공식 코드

CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping

https://github.com/jbeomlee93/AdvCAM

공식 코드

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

https://github.com/jbeomlee93/BBAM

공식 코드

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

https://github.com/jbhuang0604/WSL

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Progressive Representation Adaptation for Weakly Supervised Object Localization

https://github.com/jbwang1997/OBBDetection

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Oriented R-CNN for Object Detection

https://github.com/jbwang1997/aopg

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Anchor-free Oriented Proposal Generator for Object Detection

https://github.com/jbwang1997/crosskd

공식 코드

CrossKD: Cross-Head Knowledge Distillation for Object Detection

https://github.com/jcoreyes/OP3

공식 코드

Entity Abstraction in Visual Model-Based Reinforcement Learning

https://github.com/jcorsetti/fcgf6d

공식 코드

Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation

https://github.com/jdg900/mmr

공식 코드

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

https://github.com/jdsobek/medyolo

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MedYOLO: A Medical Image Object Detection Framework

https://github.com/jefferyzhan/griffon

공식 코드

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

https://github.com/jellyyao3000/omnistvg

공식 코드

OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding

https://github.com/jeongeun980906/Zeroshot-Active-VIsual-Search

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Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants

https://github.com/jerpelhan/GeCo

공식 코드

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

https://github.com/jerpelhan/dave

공식 코드

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting

https://github.com/jerryx1110/robust-video-object-segmentation

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Towards Robust Video Object Segmentation with Adaptive Object Calibration

https://github.com/jerryx1110/rpcmvos

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Reliable Propagation-Correction Modulation for Video Object Segmentation

https://github.com/jgiroux8/T_FFTRadNet

공식 코드

T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals

https://github.com/jgwak/GSDN

공식 코드

Generative Sparse Detection Networks for 3D Single-shot Object Detection

https://github.com/jh-research/multipleteachers

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Power of Cooperative Supervision: Multiple Teachers Framework for Enhanced 3D Semi-Supervised Object Detection

https://github.com/jhu-lcsr/costar_plan

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The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

https://github.com/jhuang81/weak-sup-visual-grounding

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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

https://github.com/jiahao000/orl

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Unsupervised Object-Level Representation Learning from Scene Images

https://github.com/jiajunzhang16/ins-hoi

공식 코드

Ins-HOI: Instance Aware Human-Object Interactions Recovery

https://github.com/jiakangyuan/helixformer

공식 코드

Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification

https://github.com/jialeli1/mgaf-3dssd

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Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

https://github.com/jiangsongtao/vtprompt

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Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models

https://github.com/jiangzhengkai/LSTS

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Learning Where to Focus for Efficient Video Object Detection

https://github.com/jianwen-xie/3DDescriptorNet

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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

https://github.com/jiaqi5598/adavib

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Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow

https://github.com/jiasenlu/NeuralBabyTalk

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Neural Baby Talk

https://github.com/jiaweihe1996/ba-det

공식 코드

3D Video Object Detection with Learnable Object-Centric Global Optimization

https://github.com/jiaweilian/benchmarking_physical_attack

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PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiaweilian/padetbench

공식 코드

PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiawen-zhu/hqtrack

공식 코드

Tracking Anything in High Quality

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