Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/L0SG/grouped-ssd-pytorch

공식 코드

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

https://github.com/LA30/Cas-Gnn

공식 코드

Cascade Graph Neural Networks for RGB-D Salient Object Detection

https://github.com/LCAD-UFES/publications-arruda-ijcnn-2019

공식 코드

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

https://github.com/LKJacky/Differentiable-Model-Scaling

공식 코드

Differentiable Model Scaling using Differentiable Topk

https://github.com/LONGXUANX/CDFormer_code

공식 코드

CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion

https://github.com/LandskapeAI/triplet-attention

공식 코드

Rotate to Attend: Convolutional Triplet Attention Module

https://github.com/Lans1ng/OSSOD

공식 코드

Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images

https://github.com/Lans1ng/SFOD-RS

공식 코드

CLIP-Guided Source-Free Object Detection in Aerial Images

https://github.com/Lausannen/NAS-FCOS

공식 코드

NAS-FCOS: Efficient Search for Object Detection Architectures

https://github.com/Layjins/FewShotLearning-tSF

공식 코드

tSF: Transformer-based Semantic Filter for Few-Shot Learning

https://github.com/LayneH/LEWEL

공식 코드

Learning Where to Learn in Cross-View Self-Supervised Learning

https://github.com/LeapLabTHU/ARC

공식 코드

Adaptive Rotated Convolution for Rotated Object Detection

https://github.com/Leedeng/Line-Counter

공식 코드

LineCounter: Learning Handwritten Text Line Segmentation by Counting

https://github.com/LiWentomng/OrientedRepPoints

공식 코드

Oriented RepPoints for Aerial Object Detection

https://github.com/LiYingwei/Regional-Homogeneity

공식 코드

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

https://github.com/LiYinqi/DIVE

공식 코드

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks

https://github.com/Liangbo-Cheng/mamba_capsule

공식 코드

Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection

https://github.com/LilianHollard/LeYOLO

공식 코드

LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection

https://github.com/LingLIx/THz_Dataset

공식 코드

Active Terahertz Imaging Dataset for Concealed Object Detection

https://github.com/Link2Link/FE_GCN

공식 코드

S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection

https://github.com/LittlePey/SFD

공식 코드

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

https://github.com/Liz66666/SIENet

공식 코드

SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

https://github.com/Lizhe1228/MambaDFuse

공식 코드

MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

https://github.com/LouisYuxuLu/ERANet

공식 코드

Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions

https://github.com/LourencoVazPato/seeing-without-looking

공식 코드

Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization

https://github.com/Lucia-Ningning/Adaptive_Fusion_RGBD_Saliency_Detection

공식 코드

Adaptive Fusion for RGB-D Salient Object Detection

https://github.com/Lucs1590/Coffee_Recognize

공식 코드

Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop

https://github.com/Lx-Bao/QSFNet

공식 코드

Quality-aware Selective Fusion Network for V-D-T Salient Object Detection

https://github.com/M4gicT0/autonomous-drone-racing

공식 코드

Image Generation for Efficient Neural Network Training in Autonomous Drone Racing

https://github.com/MCG-NJU/MOTIP

공식 코드

Multiple Object Tracking as ID Prediction

https://github.com/MECLabTUDA/VoxelSceneGraph

공식 코드

Voxel Scene Graph for Intracranial Hemorrhage

https://github.com/MIC-DKFZ/nnDetection

공식 코드

nnDetection: A Self-configuring Method for Medical Object Detection

https://github.com/MIPT-Oulu/DeepWrist

공식 코드

Critical Evaluation of Deep Neural Networks for Wrist Fracture Detection

https://github.com/MIT-HAN-LAB/temporal-shift-module

공식 코드

TSM: Temporal Shift Module for Efficient Video Understanding

https://github.com/MIT-SPARK/TEASER-plusplus

공식 코드

TEASER: Fast and Certifiable Point Cloud Registration

https://github.com/MMehdiMousavi/SuperCaustics

공식 코드

SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications

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