https://github.com/Qengineering/PeleeNet_SSD
Pelee: A Real-Time Object Detection System on Mobile Devices
Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Qengineering/Rfcn_ncnn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/Qengineering/ShuffleNetV2-ncnn
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
https://github.com/Qengineering/TensorFlow_Lite_RPi_32-bits
Speed/accuracy trade-offs for modern convolutional object detectors
https://github.com/Qengineering/TensorFlow_Lite_RPi_64-bits
Speed/accuracy trade-offs for modern convolutional object detectors
https://github.com/Qengineering/TensorFlow_Lite_SSD_Jetson-Nano
Speed/accuracy trade-offs for modern convolutional object detectors
https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_32-bits
Speed/accuracy trade-offs for modern convolutional object detectors
https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_64-bits
Speed/accuracy trade-offs for modern convolutional object detectors
https://github.com/Qengineering/YoloV2-ncnn-Jetson-Nano
https://github.com/Qengineering/YoloV2-ncnn-Raspberry-Pi-4
https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano
https://github.com/Qengineering/YoloV3-ncnn-Raspberry-Pi-4
https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano
https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4
https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit
https://github.com/Qi-Xian/color-transfer_HW1
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/QiaoranC/tf_ResNeSt_RegNet_model
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
https://github.com/Qinhj07/ATOMCode
https://github.com/R2th/Covid-19-Fake-News-Detection-System
Transformer based Automatic COVID-19 Fake News Detection System
https://github.com/RACHANAMOVVA09/CenterNet
https://github.com/RElbers/strotss-pytorch
Style Transfer by Relaxed Optimal Transport and Self-Similarity
https://github.com/RF5/simple-autovc
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/RPFey/frustum-pointnets
https://github.com/RPraneetha/MoCo-FAIR
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
https://github.com/RRoundTable/OceanLitter_dataset_generator
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/RUCAIBox/LLMBox
https://github.com/RachelChen1116/WikiNLI
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
https://github.com/Raghvender1205/ConvNeXt
https://github.com/Rahmanzia3/darknet
https://github.com/Rahmanzia3/darknet_original
https://github.com/Rahmanzia3/yolo
https://github.com/RainbowNebula/PETS
Periodically Exchange Teacher-Student for Source-Free Object Detection
https://github.com/RaiyaniNirav/Mask-R-CNN-for-water-detection
https://github.com/RajArPatra/Super-OCR
https://github.com/RajeshNN/neural-style-transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.