Papers with Code 아카이브

2D Object Detection

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하위 태스크

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평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/wj-cv/vcp

공식 코드

Visual Consensus Prompting for Co-Salient Object Detection

https://github.com/wkentaro/pytorch-fcn

공식 코드

Priming Neural Networks

https://github.com/wkfdb/marvelovd

공식 코드

MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection

https://github.com/wnzhyee/Feature-Fused-SSD

공식 코드

Feature-Fused SSD: Fast Detection for Small Objects

https://github.com/wofmanaf/SA-Net

공식 코드

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

https://github.com/wokaikaixinxin/OrientedFormer

공식 코드

OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images

https://github.com/wokaikaixinxin/rqformer

공식 코드

RQFormer: Rotated Query Transformer for End-to-End Oriented Object Detection

https://github.com/wongkinyiu/yolov7

공식 코드

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

https://github.com/woodfrog/floor-sp

공식 코드

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path

https://github.com/woodwindhu/dts

공식 코드

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection

https://github.com/word-ky/Edge-TOOLBOX

공식 코드

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment

https://github.com/woxihuanjiangguo/bevnext

공식 코드

BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection

https://github.com/wqshao126/dtn

공식 코드

Dynamic Token Normalization Improves Vision Transformers

https://github.com/wqw123wqw/pftrack

공식 코드

Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach

https://github.com/wrld/PRoGAN

공식 코드

PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation

https://github.com/wrslab/tubedet

공식 코드

Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis

https://github.com/wtliao/ImageTransformer

공식 코드

Image Captioning through Image Transformer

https://github.com/wty-yy/katacr

공식 코드

Playing Non-Embedded Card-Based Games with Reinforcement Learning

https://github.com/wuer5/rrenet

공식 코드

Relaxed Rotational Equivariance via $G$-Biases in Vision

https://github.com/wufan-cse/g-nas

공식 코드

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

https://github.com/wuhanstudio/adversarial-camera

공식 코드

A Human-in-the-Middle Attack against Object Detection Systems

https://github.com/wuhanstudio/adversarial-detection

공식 코드

Adversarial Detection: Attacking Object Detection in Real Time

https://github.com/wuhanstudio/whitebox-adversarial-toolbox

공식 코드

A Human-in-the-Middle Attack against Object Detection Systems

https://github.com/wushuang1998/mfdc

공식 코드

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection

https://github.com/wusize/clim

공식 코드

CLIM: Contrastive Language-Image Mosaic for Region Representation

https://github.com/wusize/clipself

공식 코드

CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

https://github.com/wusize/ovdet

공식 코드

Aligning Bag of Regions for Open-Vocabulary Object Detection

https://github.com/wuyang98/CoSOD

공식 코드

Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking

https://github.com/wuyongjiancode/attriprompter

공식 코드

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

https://github.com/wuyongjiancode/vlpmnud

공식 코드

Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

https://github.com/wuyuebupt/doubleheadsrcnn

공식 코드

Rethinking Classification and Localization for Object Detection

https://github.com/wuzhe71/CPD

공식 코드

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

https://github.com/wuzhenyubuaa/dpnet

공식 코드

Salient Object Detection via Dynamic Scale Routing

https://github.com/wuzhenyubuaa/sodgan

공식 코드

Synthetic Data Supervised Salient Object Detection

https://github.com/wvangansbeke/Revisiting-Contrastive-SSL

공식 코드

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

https://github.com/wvuvl/DARMA

공식 코드

Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention

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