Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/iyatomilab/rsgaia_hbbt

공식 코드

Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training

https://github.com/jack-admiral/ACM-MM-FRDT

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/jackieam/e-inmemo

공식 코드

E-InMeMo: Enhanced Prompting for Visual In-Context Learning

https://github.com/jackieam/inmemo

공식 코드

Instruct Me More! Random Prompting for Visual In-Context Learning

https://github.com/jacky121298/wlst

공식 코드

WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection

https://github.com/jacobgil/pytorch-grad-cam

공식 코드

KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA

https://github.com/jacobhenningsson95/synmfg_code

공식 코드

Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study

https://github.com/jacobi93/alpha-iou

공식 코드

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

https://github.com/jacobyuan7/ocn-hoi-benchmark

공식 코드

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics

https://github.com/jacobyuan7/rlipv2

공식 코드

RLIPv2: Fast Scaling of Relational Language-Image Pre-training

https://github.com/jaehakim97/sr4ir

공식 코드

Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss

https://github.com/jaeill/CVPR23-VNE

공식 코드

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

https://github.com/jalalilabucla/phase-stretch-adaptive-gradient-field-extractor

공식 코드

Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)

https://github.com/jalalilabucla/phycv

공식 코드

VEViD: Vision Enhancement via Virtual diffraction and coherent Detection

https://github.com/james128333/HarDNet-MSEG

공식 코드

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

https://github.com/jamycheung/DELIVER

공식 코드

Delivering Arbitrary-Modal Semantic Segmentation

https://github.com/janghyuncho/ecm-loss

공식 코드

Long-tail Detection with Effective Class-Margins

https://github.com/janmarcelkezmann/metadetect3d

공식 코드

LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

https://github.com/jannctu/FINED

공식 코드

FINED: Fast Inference Network for Edge Detection

https://github.com/jannctu/TIN

공식 코드

Traditional Method Inspired Deep Neural Network for Edge Detection

https://github.com/jaraxxus-me/airdet

공식 코드

AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

https://github.com/jarintotiondin/ziragroundingdino

공식 코드

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection

https://github.com/jaryp/adaptivesemantictokencommunication

공식 코드

Adaptive Semantic Token Communication for Transformer-based Edge Inference

https://github.com/jason-lim26/dipex

공식 코드

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection

https://github.com/jaychempan/ETS

공식 코드

Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection

https://github.com/jaychempan/LAE-DINO

공식 코드

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

https://github.com/jbji/repvf

공식 코드

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

https://github.com/jbwang1997/OBBDetection

공식 코드

Oriented R-CNN for Object Detection

https://github.com/jbwang1997/aopg

공식 코드

Anchor-free Oriented Proposal Generator for Object Detection

https://github.com/jbwang1997/crosskd

공식 코드

CrossKD: Cross-Head Knowledge Distillation for Object Detection

https://github.com/jcjohnson/densecap

공식 코드

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

https://github.com/jdsobek/medyolo

공식 코드

MedYOLO: A Medical Image Object Detection Framework

https://github.com/jean50621/Badminton_Challenge

공식 코드

An All Deep System for Badminton Game Analysis

https://github.com/jeetv/gmvd

공식 코드

Bringing Generalization to Deep Multi-View Pedestrian Detection

https://github.com/jeffery9707/diffslva

공식 코드

DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization

https://github.com/jefferyzhan/griffon

공식 코드

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

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