Papers with Code 아카이브

Object Detection

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하위 태스크

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평가표

124

보존된 평가 기록

977

코드

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

https://github.com/hcplab-sysu/causalvlr

공식 코드

Cross-Modal Causal Intervention for Medical Report Generation

https://github.com/hdeplaen/uotod

공식 코드

Unbalanced Optimal Transport: A Unified Framework for Object Detection

https://github.com/heboyong/Diffusion-Domain-Teacher

공식 코드

Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector

https://github.com/heboyong/Generalized-Diffusion-Detector

공식 코드

Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection

https://github.com/heboyong/fitness-generalization-transferability

공식 코드

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

https://github.com/hehaodong530/dota-c

공식 코드

On the Robustness of Object Detection Models on Aerial Images

https://github.com/heitorcfelix/singleshot6Dpose

공식 코드

Squeezed Deep 6DoF Object Detection Using Knowledge Distillation

https://github.com/heitorrapela/HalluciDet

공식 코드

HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information

https://github.com/heitorrapela/mipa

공식 코드

MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

https://github.com/heitorrapela/modtr

공식 코드

Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge

https://github.com/helhafyani/multimodal_fusion

공식 코드

Multimodal Object Detection via Probabilistic a priori Information Integration

https://github.com/helioszhao/shade

공식 코드

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

https://github.com/helioszhao/shade-visualdg

공식 코드

Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization

https://github.com/hellozhuo/msgc

공식 코드

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution

https://github.com/heng-hw/spacap3d

공식 코드

Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds

https://github.com/henrylee2570/NoisyAnchor

공식 코드

Learning from Noisy Anchors for One-stage Object Detection

https://github.com/henrytsui000/YOLO

공식 코드

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary

https://github.com/henryyu23/das

공식 코드

Towards Unsupervised Model Selection for Domain Adaptive Object Detection

https://github.com/hertasecurity/gpu-nms

공식 코드

Work-Efficient Parallel Non-Maximum Suppression Kernels

https://github.com/heshitian/plug

공식 코드

Learning Remote Sensing Object Detection with Single Point Supervision

https://github.com/hexiao-cs/s2adet

공식 코드

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation

https://github.com/hht1996ok/ea-bev

공식 코드

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

https://github.com/hhx0320/asnn

공식 코드

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding

https://github.com/hi-ft/erd

공식 코드

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

https://github.com/hieutrong512/Yoloz

공식 코드

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

https://github.com/hik-lab/ssod

공식 코드

Label Matching Semi-Supervised Object Detection

https://github.com/hikvision-research/SSOD

공식 코드

Label Matching Semi-Supervised Object Detection

https://github.com/hikvision-research/davar-lab-ml

공식 코드

Distilling Object Detectors With Global Knowledge

https://github.com/hikvision-research/probabilisticteacher

공식 코드

Learning Domain Adaptive Object Detection with Probabilistic Teacher

https://github.com/hila-chefer/Transformer-MM-Explainability

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Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

https://github.com/hirl-team/eurnet-image

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EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data

https://github.com/hitachi-rd-cv/CDB-loss

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Class-Difficulty Based Methods for Long-Tailed Visual Recognition

https://github.com/hitsz-nrsl/de6d

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Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness

https://github.com/hiyouga/easyr1

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VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning

https://github.com/hkbu-hpml/easnet

공식 코드

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

https://github.com/hku-tasr/anywheredoor

공식 코드

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.