Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/pastifra/TiROD_code

공식 코드

Tiny Robotics Dataset and Benchmark for Continual Object Detection

https://github.com/pathak22/unsupervised-video

공식 코드

Learning Features by Watching Objects Move

https://github.com/patrick-john-ramos/nada

공식 코드

No Annotations for Object Detection in Art through Stable Diffusion

https://github.com/pauamargant/hsr-graspsynth

공식 코드

Sim2Real Transfer for Vision-Based Grasp Verification

https://github.com/paul-shuvo/planar_pose

공식 코드

Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping

https://github.com/paulnovello/hsic-attribution-method

공식 코드

Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure

https://github.com/pay246-git468/radarnext

공식 코드

RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar

https://github.com/pbonazzi/retina

공식 코드

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware

https://github.com/pcasolab/vdst-net

공식 코드

Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video

https://github.com/pealing/medet

공식 코드

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

https://github.com/pedrormconde/uncertainty_calibration_object_detection

공식 코드

A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection

https://github.com/peixianchen/medet

공식 코드

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

https://github.com/peiyunh/wysiwyg

공식 코드

What You See is What You Get: Exploiting Visibility for 3D Object Detection

https://github.com/pengyu965/chartdete

공식 코드

Context-Aware Chart Element Detection

https://github.com/pengzhiliang/Conformer

공식 코드

Conformer: Local Features Coupling Global Representations for Visual Recognition

https://github.com/pengzhiliang/g2sd

공식 코드

Generic-to-Specific Distillation of Masked Autoencoders

https://github.com/pengzhiliang/lda

공식 코드

Long-tailed Distribution Adaptation

https://github.com/peterande/get-group-event-transformer

공식 코드

GET: Group Event Transformer for Event-Based Vision

https://github.com/peterande/sast

공식 코드

Scene Adaptive Sparse Transformer for Event-based Object Detection

https://github.com/pfdp0/ContrasTR

공식 코드

Contrastive Learning for Multi-Object Tracking with Transformers

https://github.com/pfjaeger/medicaldetectiontoolkit

공식 코드

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

https://github.com/pfnet-research/picking-instruction

공식 코드

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

https://github.com/pfnet/chainercv

공식 코드

ChainerCV: a Library for Deep Learning in Computer Vision

https://github.com/phi-wol/hydra

공식 코드

Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

https://github.com/philip-mueller/adpd

공식 코드

Anatomy-Driven Pathology Detection on Chest X-rays

https://github.com/philip-mueller/lovt

공식 코드

Joint Learning of Localized Representations from Medical Images and Reports

https://github.com/philip-mueller/wsrpn

공식 코드

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling

https://github.com/philipposg/osdd

공식 코드

Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study

https://github.com/philkr/magic_init

공식 코드

Data-dependent Initializations of Convolutional Neural Networks

https://github.com/phoenix-v/digeo

공식 코드

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

https://github.com/phucnda/ha-rdet

공식 코드

HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection

https://github.com/phyllish/dvdet

공식 코드

Aerial Monocular 3D Object Detection

https://github.com/pierlj/aaf_framework

공식 코드

A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images

https://github.com/pieterblok/boxal

공식 코드

Improved detection of discarded fish species through BoxAL active learning

https://github.com/piggy2021/ALGRF

공식 코드

Video Salient Object Detection via Adaptive Local-Global Refinement

https://github.com/piggyjerry/dc-net

공식 코드

DC-Net: Divide-and-Conquer for Salient Object Detection

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