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/libeineu/fairseq_mmt

공식 코드

On Vision Features in Multimodal Machine Translation

https://github.com/libraflower/MutipleFeature-for-PRID

공식 코드

Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

https://github.com/libuyu/GHM_Detection

공식 코드

Gradient Harmonized Single-stage Detector

https://github.com/lidar-perception/lidar-cs

공식 코드

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection

https://github.com/lids-datasets/schistossoma-eggs

공식 코드

FLIM-based Salient Object Detection Networks with Adaptive Decoders

https://github.com/liewfeng/beam

공식 코드

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/liewfeng/imted

공식 코드

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

https://github.com/liewfeng/raydn

공식 코드

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/ligang-cs/PseCo

공식 코드

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

https://github.com/lightdxy/bootmae

공식 코드

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

https://github.com/liguopeng0923/LGP

공식 코드

Towards Generic and Controllable Attacks Against Object Detection

https://github.com/lijfrank-open/SFCHD-SCALE

공식 코드

Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method

https://github.com/liketheflower/simcrosstrans

공식 코드

simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers

https://github.com/liketheflower/uoddm

공식 코드

Unified Object Detector for Different Modalities based on Vision Transformers

https://github.com/likojack/odam

공식 코드

ODAM: Object Detection, Association, and Mapping using Posed RGB Video

https://github.com/limbo0000/InstanceLoc

공식 코드

Instance Localization for Self-supervised Detection Pretraining

https://github.com/lime-j/lime-eval

공식 코드

LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection

https://github.com/liming-ai/AlignDet

공식 코드

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection

https://github.com/linfeng-tang/psfusion

공식 코드

Rethinking the Evaluation of Visible and Infrared Image Fusion

https://github.com/linfeng93/large-unidet

공식 코드

Universal Object Detection with Large Vision Model

https://github.com/lingxiaoli94/pol

공식 코드

Learning Proximal Operators to Discover Multiple Optima

https://github.com/linkon87/exploring-diversity-based-active-learning-for-3d-object-detection-in-autonomous-driving

공식 코드

Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving

https://github.com/linnanwang/AlphaX-NASBench101

공식 코드

AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

https://github.com/lintotao/out-of-bbox-attack

공식 코드

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors

https://github.com/linusericsson/ssl-transfer

공식 코드

How Well Do Self-Supervised Models Transfer?

https://github.com/linuxsino/senet

공식 코드

A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection

https://github.com/linwei-chen/fadc

공식 코드

Frequency-Adaptive Dilated Convolution for Semantic Segmentation

https://github.com/linwei-chen/fdconv

공식 코드

Frequency Dynamic Convolution for Dense Image Prediction

https://github.com/linwei-chen/lis

공식 코드

Instance Segmentation in the Dark

https://github.com/linxuewu/sparse4d

공식 코드

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

https://github.com/liruilong940607/OCHumanApi

공식 코드

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/liruilong940607/Pose2Seg

공식 코드

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/lisavilalee/scaresnet_mmdet

공식 코드

SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers

https://github.com/littlepey/ptpm

공식 코드

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

https://github.com/liuchen1997/rfaconv

공식 코드

RFAConv: Innovating Spatial Attention and Standard Convolutional Operation

https://github.com/liudongyang6/fcfd

공식 코드

Function-Consistent Feature Distillation

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