• Stars
    star
    1
  • Language
    Python
  • Created about 6 years ago
  • Updated about 6 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

toy model to visualize feature space of models trained by different loss functions

More Repositories

1

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
573
star
2

MIST_VAD

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
Python
122
star
3

object_centric_VAD

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
Python
95
star
4

pytorch_ano_pre

Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.
Python
49
star
5

SCUT_CS_baoyan

本repo为scut cs的本科生保研经验分享
40
star
6

Awesome_Video_Summarization

Papers, codes collection of video summarization / video highlight detection / video key frame selection
34
star
7

Awesome-Query-based-Video-Localization

Paper and Code collections for query-based video localization, including video grounding and video re-localization.
11
star
8

Papers-Notes

CV Paper Notes to Share
HTML
9
star
9

opencv_videovision

opencv accelerated video tensorform lib for pytorch
Python
3
star
10

awesome_anomaly_segmentation

Works on real world anomaly segmentation.
2
star
11

Weakly-Un-Self-Supervised-Papers-Collections

Weakly supervised / Unsupervised /Self supervised Paper collections
2
star
12

SLAM_Learning_Notes

A personal learning notes on vSLAM.
1
star
13

basic_knowledge_AI

Some basic knowledges about AI. This repo is to collect links of relative knowledges.
1
star
14

image_processing

SCUT task experience for image processing
C++
1
star
15

awesome-visual-sentiment-analysis

A collections for awesome visual emotional understanding researchs.
1
star
16

label_tool

label tool for cow head labeing
Python
1
star
17

Awesome-Learn-From-Synthetic

Papers, Codes about synthetic data generation/ learning, and adaptaion to real-world data.
1
star