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보존된 평가 기록

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코드

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

https://github.com/wimlds-trojmiasto/detect-waste

공식 코드

Waste detection in Pomerania: non-profit project for detecting waste in environment

https://github.com/winci-ai/cw-rgp

공식 코드

An Investigation into Whitening Loss for Self-supervised Learning

https://github.com/winci-ai/intl

공식 코드

Modulate Your Spectrum in Self-Supervised Learning

https://github.com/windere/eas-snn

공식 코드

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

https://github.com/winycg/HSAKD

공식 코드

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution

https://github.com/winycg/mcl

공식 코드

Mutual Contrastive Learning for Visual Representation Learning

https://github.com/winycg/self-kd-lib

공식 코드

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

https://github.com/wish44165/ReynoldsFlow

공식 코드

ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport Theorem

https://github.com/wissingchen/vlci

공식 코드

Cross-Modal Causal Intervention for Medical Report Generation

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

공식 코드

Visual Consensus Prompting for Co-Salient Object Detection

https://github.com/wjun0830/cgdetr

공식 코드

Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding

https://github.com/wjun0830/qd-detr

공식 코드

Query-Dependent Video Representation for Moment Retrieval and Highlight 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/wlydlut/c2f-dft

공식 코드

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration

https://github.com/wmcnally/deep-darts

공식 코드

DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera

https://github.com/wnqzhu/psc

공식 코드

PSC: Extending Context Window of Large Language Models via Phase Shift Calibration

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/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/worldstrat/worldstrat

공식 코드

Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolution

https://github.com/woxihuanjiangguo/bevnext

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BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection

https://github.com/wqshao126/dtn

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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

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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

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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

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