Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/harsh-99/SCL

공식 코드

SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses

https://github.com/haru-zt/ddpls

공식 코드

Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection

https://github.com/harveymannering/text-to-image-bias

공식 코드

Analysing Gender Bias in Text-to-Image Models using Object Detection

https://github.com/harveyp123/iccd_sptrn_slr

공식 코드

Towards Sparsification of Graph Neural Networks

https://github.com/hasanirtiza/Pedestron

공식 코드

Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

https://github.com/hashmatshadab/apr

공식 코드

Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations

https://github.com/hashmatshadab/mambarobustness

공식 코드

Towards Evaluating the Robustness of Visual State Space Models

https://github.com/hasibzunair/peekaboo

공식 코드

PEEKABOO: Hiding parts of an image for unsupervised object localization

https://github.com/hassony2/homan

공식 코드

Towards unconstrained joint hand-object reconstruction from RGB videos

https://github.com/hatins/deoe

공식 코드

Detecting Every Object from Events

https://github.com/hayyubi/cur_vl

공식 코드

Learning from Children: Improving Image-Caption Pretraining via Curriculum

https://github.com/hb-stone/FC-SOD

공식 코드

Few-Cost Salient Object Detection with Adversarial-Paced Learning

https://github.com/hbilen/WSDDN

공식 코드

Weakly Supervised Deep Detection Networks

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/hehao13/EBLNet

공식 코드

Enhanced Boundary Learning for Glass-like Object Segmentation

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/hellozhuo/pidinet

공식 코드

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning

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

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