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/marcelsheeny/radiate_sdk

공식 코드

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

https://github.com/marcozullich/punches-object-detection

공식 코드

Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting

https://github.com/marcusjenkins01/yolov7-temporal

공식 코드

Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring

https://github.com/marinbenc/ssl-for-medical-object-detection

공식 코드

Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis

https://github.com/marioduran/tyolov5

공식 코드

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

https://github.com/marleneberke/metacog

공식 코드

MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations

https://github.com/martianxiu/MSECNet

공식 코드

MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning

https://github.com/martin-3240/safesea

공식 코드

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions

https://github.com/martius-lab/blackbox-backprop

공식 코드

Optimizing Rank-based Metrics with Blackbox Differentiation

https://github.com/marwankefah/SISSI

공식 코드

Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images

https://github.com/masterhow/flowlens

공식 코드

Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer

https://github.com/matej-ulicny/harmonic-networks

공식 코드

Harmonic Convolutional Networks based on Discrete Cosine Transform

https://github.com/matheusbarrosp/chessmix

공식 코드

ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation

https://github.com/mathlee/acconet

공식 코드

Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/mathlee/corrnet

공식 코드

Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation

https://github.com/mathlee/gelenet

공식 코드

Salient Object Detection in Optical Remote Sensing Images Driven by Transformer

https://github.com/mathlee/lasnet

공식 코드

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

https://github.com/mathlee/mccnet

공식 코드

Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/mathlee/seanet

공식 코드

Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment

https://github.com/mathlee/tscnet

공식 코드

Texture-Semantic Collaboration Network for ORSI Salient Object Detection

https://github.com/matonima/lightweight-classifier/blob/main/TPA.py

공식 코드

Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach

https://github.com/matrixgame2018/FEANet

공식 코드

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

https://github.com/mattiasegu/darth

공식 코드

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

https://github.com/maubreville/MitosisRegionOfInterest

공식 코드

Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

https://github.com/maups/covid19-satellite-analysis

공식 코드

Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic

https://github.com/maxiuw/uada3d

공식 코드

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

https://github.com/maycbj/dit

공식 코드

DiT: Efficient Vision Transformers with Dynamic Token Routing

https://github.com/mayechi/lt3d-lf

공식 코드

Long-Tailed 3D Detection via Multi-Modal Fusion

https://github.com/mayu-ot/oc-cost

공식 코드

Optimal Correction Cost for Object Detection Evaluation

https://github.com/mazurowski-lab/breastMRI_styletransfer

공식 코드

Deep Learning for Breast MRI Style Transfer with Limited Training Data

https://github.com/mbar0075/object-detection-correlation-saliency-vs-depth

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Correlation of Object Detection Performance with Visual Saliency and Depth Estimation

https://github.com/mbar0075/sarlvision

공식 코드

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection

https://github.com/mcahny/object_localization_network

공식 코드

Learning Open-World Object Proposals without Learning to Classify

https://github.com/mcahny/rovit

공식 코드

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

https://github.com/mcg-nju/adamixer

공식 코드

AdaMixer: A Fast-Converging Query-Based Object Detector

https://github.com/mcg-nju/basictad

공식 코드

BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection

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