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코드

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

https://github.com/fcjian/loce

공식 코드

Exploring Classification Equilibrium in Long-Tailed Object Detection

https://github.com/fedezocco/2MMUsMed

공식 코드

Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare

https://github.com/fedezocco/moreeffeffdetsandwpbb-tensorflow

공식 코드

Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection

https://github.com/fediory/hvi-cidnet

공식 코드

You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement

https://github.com/fedml-ai/fedcv

공식 코드

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

https://github.com/feeling0414-lab/V2X-AHD

공식 코드

V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network

https://github.com/feibryantkit/lf-tracy

공식 코드

LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras

https://github.com/feichtenhofer/detect-track

공식 코드

Detect to Track and Track to Detect

https://github.com/felime/rodeo

공식 코드

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

https://github.com/felixcaae/aligndetr

공식 코드

Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss

https://github.com/felixcaae/crowdsam

공식 코드

Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes

https://github.com/fengfu-chris/caffe-twns

공식 코드

Ternary Weight Networks

https://github.com/fengli-ust/dn-detr

공식 코드

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

https://github.com/fenglinglwb/edt

공식 코드

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

https://github.com/fengzicai/s2s

공식 코드

Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data

https://github.com/fengziyue/FusionDepth

공식 코드

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

https://github.com/feobi1999/tdd

공식 코드

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

https://github.com/ferry-li/si-sod

공식 코드

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection

https://github.com/fesvhtr/DocMSU

공식 코드

DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding

https://github.com/filapro/unidet3d

공식 코드

UniDet3D: Multi-dataset Indoor 3D Object Detection

https://github.com/finger-monkey/Data-Augmentation

공식 코드

Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

https://github.com/firojalam/COVID-19-disinformation

공식 코드

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

https://github.com/fishandwasabi/yolo-ms

공식 코드

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

https://github.com/fishsoup0/autonomous-driving-perception

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A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions

https://github.com/fistyee/mixpro

공식 코드

MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer

https://github.com/fiveai/MoCaE

공식 코드

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

https://github.com/fiveai/detection_calibration

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On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

https://github.com/fiveai/hardest

공식 코드

Query-based Hard-Image Retrieval for Object Detection at Test Time

https://github.com/fiveai/saod

공식 코드

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

https://github.com/fkthi/OpenTrafficMonitoringPlus

공식 코드

Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

https://github.com/fletcherjiang/llmepet

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Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

https://github.com/flkraus/bayesian-yolov3

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Uncertainty Estimation in One-Stage Object Detection

https://github.com/floatingstarZ/GeRSP

공식 코드

Generic Knowledge Boosted Pre-training For Remote Sensing Images

https://github.com/floatingstarz/mutdet

공식 코드

MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection

https://github.com/floracharbo/hedge

공식 코드

Home Electricity Data Generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles

https://github.com/flyakon/Geographical-Knowledge-driven-Representaion-Learning

공식 코드

Geographical Knowledge-driven Representation Learning for Remote Sensing Images

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