ssbagalkar
Computer Vision Researcher with interest in Medical Imaging, Machine Learning, Perception,Deep Learning and Self-Driving Cars
Austin,TX
Pinned Repositories
active-learning
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
CarND-Capstone
CenterTrack
Simultaneous object detection and tracking using center points.
defgrid-release
Official PyTorch implementation of Deformable Grid (ECCV 2020)
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
TracKit
[ECCV'20] Ocean: Object-aware Anchor-Free Tracking
ssbagalkar's Repositories
ssbagalkar/tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
ssbagalkar/AutoMask
Automatic Rotoscoping/Masking tool powered with Machine Learning for Blender
ssbagalkar/awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
ssbagalkar/awesome-panoptic-segmentation
Panoptic Segmentation Resources List
ssbagalkar/Benchmarks-for-Single-Object-Visual-Tracking
Exploring through 7 popular datasets for visual object tracking, including OTB, UAV, VOT, LaSOT, NFS, TrackingNet and GOT-10k.
ssbagalkar/BubbleNets
Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
ssbagalkar/computer-vision-basics-in-microsoft-excel
Computer Vision Basics in Microsoft Excel (using just formulas)
ssbagalkar/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
ssbagalkar/fbrs_interactive_segmentation
Official implementation of CVPR2020 paper "f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation" https://arxiv.org/abs/2001.10331
ssbagalkar/implementation_of_RCNN
We implement RCNN algorithm for object detection from an Images.
ssbagalkar/interview
Interview questions
ssbagalkar/keras-retinanet
Keras implementation of RetinaNet object detection.
ssbagalkar/landcover
Land Cover Mapping
ssbagalkar/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ssbagalkar/nanonets_object_tracking
ssbagalkar/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
ssbagalkar/opencv
ssbagalkar/polyrnn-pp-pytorch
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
ssbagalkar/pyImSegm
Image segmentation - general superpixel segmentation & center detection & region growing
ssbagalkar/pysot-toolkit
Python Single Object Tracking Evaluation
ssbagalkar/RCNN
Step-By-Step Implementation of R-CNN from scratch in python
ssbagalkar/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
ssbagalkar/siammask_e
This is the add-on package for the pysot project. SiamMask_E is an updated version of SiamMask with ellipse fitting and bounding box scale refinement.
ssbagalkar/SiamRPN_plus_plus_PyTorch
SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
ssbagalkar/skorch
A scikit-learn compatible neural network library that wraps pytorch
ssbagalkar/snorkel
A system for quickly generating training data with weak supervision
ssbagalkar/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
ssbagalkar/TrackR-CNN
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
ssbagalkar/UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
ssbagalkar/web-deep-learning-classifier
Deep Learning model to classify food (Web App)