Browse > Computer Vision > Image Classification

Image Classification

330 papers with code · Computer Vision

State-of-the-art leaderboards

Latest papers with code

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

ICLR 2019 wielandbrendel/bag-of-local-features-models

Deep Neural Networks (DNNs) excel on many complex perceptual tasks but it has proven notoriously difficult to understand how they reach their decisions.

IMAGE CLASSIFICATION

178
01 May 2019

DenseNet Models for Tiny ImageNet Classification

23 Apr 2019ZohebAbai/Tiny-ImageNet-Challenge

The architecture of the networks is designed based on the image resolution of this specific dataset and by calculating the Receptive Field of the convolution layers.

IMAGE CLASSIFICATION

1
23 Apr 2019

Attention Augmented Convolutional Networks

22 Apr 2019sebastiani/pytorch-attention-augmented-convolution

Convolutional networks have been the paradigm of choice in many computer vision applications.

IMAGE CLASSIFICATION OBJECT DETECTION

0
22 Apr 2019

Sparseout: Controlling Sparsity in Deep Networks

17 Apr 2019najeebkhan/sparseout

We found that sparsity of the activations is favorable for language modelling performance while image classification benefits from denser activations.

IMAGE CLASSIFICATION LANGUAGE MODELLING

1
17 Apr 2019

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

10 Apr 2019zrl4836/tensorflow_octConv

Similarly, the output feature maps of a convolution layer can also be seen as a mixture of information at different frequencies.

IMAGE CLASSIFICATION VIDEO RECOGNITION

22
10 Apr 2019

Learning Metrics from Teachers: Compact Networks for Image Embedding

7 Apr 2019yulu0724/EmbeddingDistillation

In this paper, we propose to use network distillation to efficiently compute image embeddings with small networks.

FACE RECOGNITION IMAGE CLASSIFICATION IMAGE RETRIEVAL METRIC LEARNING [email protected]

9
07 Apr 2019

Adaptively Connected Neural Networks

7 Apr 2019wanggrun/Adaptively-Connected-Neural-Networks

This paper presents a novel adaptively connected neural network (ACNet) to improve the traditional convolutional neural networks (CNNs) {in} two aspects.

DOCUMENT CLASSIFICATION IMAGE CLASSIFICATION PERSON RE-IDENTIFICATION

41
07 Apr 2019

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

5 Apr 2019dstamoulis/single-path-nas

Can we automatically design a Convolutional Network (ConvNet) with the highest image classification accuracy under the runtime constraint of a mobile device?

ARCHITECTURE SEARCH IMAGE CLASSIFICATION

73
05 Apr 2019

On Direct Distribution Matching for Adapting Segmentation Networks

4 Apr 2019anonymauthor/DDMSegNet

We juxtapose our approach to state-of-the-art segmentation adaptation via adversarial training in the network-output space.

BRAIN SEGMENTATION DOMAIN ADAPTATION IMAGE CLASSIFICATION

2
04 Apr 2019

Hyperbolic Image Embeddings

3 Apr 2019KhrulkovV/hyperbolic-image-embeddings

Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made using linear hyperplanes, Euclidean distances, or spherical geodesic distances (cosine similarity).

FEW-SHOT LEARNING IMAGE CLASSIFICATION IMAGE RETRIEVAL

66
03 Apr 2019