Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/maelic/sgg-benchmark

공식 코드

REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation

https://github.com/magic-research/dataset_quantization

공식 코드

Dataset Quantization

https://github.com/magrinigabriele/nerdd

공식 코드

Neuromorphic Drone Detection: an Event-RGB Multimodal Approach

https://github.com/mahdi65/roadDamageDetection2020

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An Efficient and Scalable Deep Learning Approach for Road Damage Detection

https://github.com/mahdiyarmm/continual-pedestrian-detection

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Continual Learning for Out-of-Distribution Pedestrian Detection

https://github.com/mahedikamal/anna-a-deep-learning-based-dataset-in-heterogenous-traffic-for-autonomous-vehicles

공식 코드

ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles

https://github.com/mahehu/TUT-live-age-estimator

공식 코드

Towards a Real-Time Facial Analysis System

https://github.com/maikwischow/camera-condition-monitoring

공식 코드

Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles

https://github.com/maitysubhajit/selfdocseg

공식 코드

SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation

https://github.com/makhtar17004/orientation-aware-firearm-detection

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Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization

https://github.com/mala-lab/sic-cads

공식 코드

Simple Image-level Classification Improves Open-vocabulary Object Detection

https://github.com/malagoutou/Inner-IoU

공식 코드

Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

https://github.com/malagoutou/focaler-iou

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Focaler-IoU: More Focused Intersection over Union Loss

https://github.com/malagoutou/select-mosaic

공식 코드

Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes

https://github.com/malagoutou/shape-iou

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Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

https://github.com/malga-vision/fastervideo

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FasterVideo: Efficient Online Joint Object Detection And Tracking

https://github.com/mali-farooq/thermal-yolo-and-model-optimization-using-tensorflowlite

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Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices

https://github.com/malicd/sailor

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SAILOR: Scaling Anchors via Insights into Latent Object Representation

https://github.com/manishnagaraj/DOTIE

공식 코드

DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture

https://github.com/manjahdani/csbad

공식 코드

Camera clustering for scalable stream-based active distillation

https://github.com/manoja328/rodeo

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RODEO: Replay for Online Object Detection

https://github.com/manoja328/tallyqacode

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TallyQA: Answering Complex Counting Questions

https://github.com/mansoor-at/semi-supervised-surgical-tool-detection

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A semi-supervised Teacher-Student framework for surgical tool detection and localization

https://github.com/manymuch/ground_normal_filter

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Towards Accurate Ground Plane Normal Estimation from Ego-Motion

https://github.com/marc1198/chat-hsr

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LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

https://github.com/marcelsheeny/radiate_sdk

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RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

https://github.com/marcozullich/punches-object-detection

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Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting

https://github.com/marcusjenkins01/yolov7-temporal

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Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring

https://github.com/marinbenc/ssl-for-medical-object-detection

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Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis

https://github.com/marioduran/tyolov5

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TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

https://github.com/marleneberke/metacog

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MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations

https://github.com/martin-3240/safesea

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SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions

https://github.com/martius-lab/blackbox-backprop

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Optimizing Rank-based Metrics with Blackbox Differentiation

https://github.com/marwankefah/SISSI

공식 코드

Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images

https://github.com/masterhow/flowlens

공식 코드

Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer

https://github.com/matej-ulicny/harmonic-networks

공식 코드

Harmonic Convolutional Networks based on Discrete Cosine Transform

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