sinamalakouti Goto Github PK

adaptive_teacher

This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".

aftabledcollectionview

How to display a UICollectionView within a UITableViewCell

aisearchpackage

Classical and Modern searching algorithms

arff-datasets

The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)

auglove

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

bdd100k

Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

bjdd_cvpr21

This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.

cdcl

cddmsl

[BMVC2023] This is the official repo for Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment (BMVC2023)

cis530-hw7

clip_discourse

Semi-supervised model for predicting discourse coherence relation between images and captions

clip_prefix_caption

Simple image captioning model

cvinw_readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

cycle-confusion

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

daprompt

Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

deepiot

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind

deeptreenetwork

A New Symbolic Deep Architecture combining decision trees and neural networks

depression-detection-through-multi-modal-data

Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the psychologist to determine his/her mental state. In our model, we try to imbibe this approach by fusing the 3 modalities i.e. word context, audio, and video and predict an output regarding the mental health of the patient. The output is divided into a binary yes/no denoting whether the patient has symptoms of depression. We’ve built a deep learning model that fuses these 3 modalities, assigning them appropriate weights, and thus gives an output.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

drn-wsod-pytorch

Enabling Deep Residual Networks for Weakly Supervised Object Detection

flickr30k_entities

Flickr30K Entities Dataset

geonet

Repository for accessing and training using GeoNet dataset, published at CVPR 2023.

google-research

Google Research

grabgpu

Grab GPU whenever available

icpc-webapp

A webApplication for Amkirkabir ICPC website

ie_reyhoon

This is my IE course project at Amirkabir University of Technology under the supervision of Prof. Bakhshi. In this project I have implemented the Reyhoon's website ( an online food ordering organization).

instanceloc

[CVPR 2021] Instance Localization for Self-supervised Detection Pretraining

inverted_index