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/sciencefans/RSA-for-object-detection

공식 코드

Recurrent Scale Approximation for Object Detection in CNN

https://github.com/scikit-image/scikit-image

공식 코드

scikit-image: Image processing in Python

https://github.com/scnu-rislab/yolo-ant

공식 코드

YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection

https://github.com/scuwyh2000/randbox

공식 코드

Random Boxes Are Open-world Object Detectors

https://github.com/sdbuch/refine

공식 코드

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization

https://github.com/sdy1999/eamnet

공식 코드

Edge-Aware Mirror Network for Camouflaged Object Detection

https://github.com/seanxuu/PWISeg

공식 코드

PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments

https://github.com/seanzhuh/awesome-open-vocabulary-detection-and-segmentation

공식 코드

A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

https://github.com/sebgao/LIP

공식 코드

LIP: Local Importance-based Pooling

https://github.com/seermer/RTGen

공식 코드

RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection

https://github.com/sefaburakokcu/finn-quantized-yolo

공식 코드

LPYOLO: Low Precision YOLO for Face Detection on FPGA

https://github.com/segments-ai/latent-diffusion-segmentation

공식 코드

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting

https://github.com/sekilab/RoadDamageDetector

공식 코드

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone

https://github.com/sekunde/pri3d

공식 코드

Pri3D: Can 3D Priors Help 2D Representation Learning?

https://github.com/selinakhan/CIGAr

공식 코드

Context-Infused Visual Grounding for Art

https://github.com/semanto-mondal/A-RAG-Augmented-YOLOv8-Framework

공식 코드

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance

https://github.com/sense-x/agvm

공식 코드

Large-batch Optimization for Dense Visual Predictions

https://github.com/sense-x/geomim

공식 코드

GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding

https://github.com/sense-x/hop

공식 코드

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction

https://github.com/sense-x/mixmim

공식 코드

MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers

https://github.com/sense-x/unihead

공식 코드

Unifying Visual Perception by Dispersible Points Learning

https://github.com/senwang98/monoskd

공식 코드

MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient

https://github.com/seonwhee-genome/rvernet

공식 코드

Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appear

https://github.com/seqam-lab/alwod

공식 코드

ALWOD: Active Learning for Weakly-Supervised Object Detection

https://github.com/sercharles/cn-rma

공식 코드

CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view Images

https://github.com/serenos/di-v2x

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DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

https://github.com/seungwonoh5/Adversarial_Attacks_against_Object_Detection

공식 코드

Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations

https://github.com/sfzhang15/ATSS

공식 코드

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

https://github.com/sfzhang15/RefineDet

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Single-Shot Refinement Neural Network for Object Detection

https://github.com/shachoi/RobustNet

공식 코드

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

https://github.com/shahsohil/sunets

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Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

https://github.com/shangtse/robust-physical-attack

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ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

https://github.com/shank2358/mudet

공식 코드

Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events

https://github.com/shanshuo/diagnosevrd

공식 코드

Diagnosing Errors in Video Relation Detectors

https://github.com/shaohua0116/MultiDigitMNIST

공식 코드

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture

https://github.com/shaohuadong2021/dplnet

공식 코드

Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

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