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3dczsl

3DCZSL with DeCompositional Consensus @ ECCV2022

adversarial_generation_eot

A TensorFlow Implementation of Expectation over Transformation attack.

aiml-2018

Artificial Intelligence and Machine Learning 2018 - SEECS - Dr Faisal Shafait

awesome-deep-vision

A curated list of deep learning resources for computer vision

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

clever

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)

dense_adversarial_generation_pytorch

Adversarial attack for semantic segmentation neural networks.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

doc_utils

A document processing pipeline example to perform OCR, data extraction and document type classification.

ferjad.github.io

fgsm_pytorch

Implements Fast Gradient Sign Method proposed by Goodfellow et al.

i2dformer

Code for CVPR23 Highlight "I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification" and NeurIPS2022 "I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification"

parallel_programming_in2147

Assignments for IN2147 Parallel Programming course at TUM

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

taskmodularnets

A set of neural network modules, which are small fully connected layers operating in semantic concept space. These modules are configured through a gating function conditioned on the task to produce features representing the compatibility between the input image and the concept under consideration.

tlstm

A tensorflow implementation of popular library CLSTM and OCROPY line reader

universal_adversarial_perturbation_pytorch

A PyTorch Implementation of the UAP attack

vgg_face2

vrl_wiki_dataset

Wikipedia articles with labels for 'Detecting Visually Relevant Sentences for Fine-Grained Classification'

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

zest

Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

zsl_pp_cvpr17

Code for the paper CVPR‘17 “Zero Shot Learning from Noisy Text Description at Part Precision”