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Shubham Pachori's Projects

seg_every_thing icon seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

seg_unravel icon seg_unravel

Code Related to "Per-Pixel Feedback for improving Semantic Segmentation", My dissertation submission.

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

segaware icon segaware

Segmentation-Aware Convolutional Networks Using Local Attention Masks

seglink icon seglink

Detecting text by linking segments.

seglir icon seglir

Javascript library for rapid A/B-testing with Sequential Generalized Likelihood Ratio tests

segmentation icon segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

segmpred icon segmpred

Predicting Deeper into the Future of Semantic Segmentation

seism icon seism

Supervised Evaluation of Image Segmentation Methods

selectiongan icon selectiongan

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation (CVPR 2019 Oral)

selectivenet icon selectivenet

code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"

self-attentive-emb-tf icon self-attentive-emb-tf

Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)

self-refine icon self-refine

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

selfexsr icon selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

selu icon selu

Notes on gradient issues and combatting normalization techniques.

selu_keras_tutorial icon selu_keras_tutorial

Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU

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