[ICCV 2017] Torch code for Grad-CAM
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Updated
Sep 17, 2022 - Lua
[ICCV 2017] Torch code for Grad-CAM
Models and code related to sketch simplification of rough sketches.
A Real-time Mario Kart 64 AI using ConvNets.
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Dataset of images of trash; Torch-based CNN for garbage image classification
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Real time face alignment
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
An implementation of the LRCN in Torch
Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
Temporal augmentation with two-stream ConvNet features on human action recognition
Segmenting WSIs using Deep Convolutional Neural Networks
Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.
Torch implementation of Severyn and Moschitti's SIGIR 2015 CNN model for question answering
Cancer Suppressor Gene and Oncogene Prediction using Deep Learning (CNN)
Source code for HTD (WACV 2019)
Torch implementation of the VDSR-CNN Upscaling algorithm
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