Papers with Code 아카이브

Scene Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

8

보존된 평가 기록

19

코드

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

https://github.com/dattatrayshinde/oc_sd

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/decile-team/cords

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

https://github.com/haysacks/spot-the-coin

Bilinear CNNs for Fine-grained Visual Recognition

https://github.com/jetpacapp/DeepBeliefSDK

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/jimgoo/caffe-oxford102

CNN Features off-the-shelf: an Astounding Baseline for Recognition

https://github.com/joshuaczhao/CNN-Sentence-Classifier-Reproduction

CNN Features off-the-shelf: an Astounding Baseline for Recognition

https://github.com/karanjsingh/Improved-CSRNet

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/krutikabapat/Crowd_Counting

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/laura-wang/video_repres_mas

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics

https://github.com/leeyeehoo/CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/mangonihao/BiLinear_CNN

Bilinear CNNs for Fine-grained Visual Recognition

https://github.com/neuroailab/LocalAggregation-Pytorch

Local Aggregation for Unsupervised Learning of Visual Embeddings

https://github.com/numpde/phonepad

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling

https://github.com/starfoe/Eye-bnb

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/tommarvoloriddle/Bilinear-CNN-Tensorflow2.4-implementation

Bilinear CNNs for Fine-grained Visual Recognition

https://github.com/towhee-io/towhee

Omnivore: A Single Model for Many Visual Modalities

https://github.com/tu-rbo/concarne

Learning image representations tied to ego-motion

https://github.com/umangkeshri/JBM-classifying-defected-parts

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/wang-chen/SubT

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

https://github.com/wang-chen/interestingness_ros

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

https://github.com/weiwang2330/siamese

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

https://github.com/xr0927/chapter5-learning_CSRNet

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

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