Image Classification

533 papers with code · Computer Code

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Understanding and Robustifying Differentiable Architecture Search

ICLR 2020 MetaAnonym/RobustDARTS

Differentiable Architecture Search (DARTS) has attracted a lot of attention due to its simplicity and small search costs achieved by a continuous relaxation and an approximation of the resulting bi-level optimization problem.

DISPARITY ESTIMATION IMAGE CLASSIFICATION LANGUAGE MODELLING

7
01 Jan 2020

Hyperbolic Image Embeddings

ICLR 2020 hyperbolic-embeddings/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

1
01 Jan 2020

Is my Deep Learning Model Learning more than I want it to?

ICLR 2020 dl-model-recommend/model-trust

Existing deep learning approaches for learning visual features tend to extract more information than what is required for the task at hand.

IMAGE CLASSIFICATION

0
01 Jan 2020

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

12 Oct 2019postBG/DTA.pytorch

Recent works on domain adaptation exploit adversarial training to obtain domain-invariant feature representations from the joint learning of feature extractor and domain discriminator networks.

IMAGE CLASSIFICATION SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

22
12 Oct 2019

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

8 Oct 2019BangguWu/ECANet

To overcome the paradox of performance and complexity trade-off, this paper makes an attempt to investigate an extremely lightweight attention module for boosting the performance of deep CNNs.

DIMENSIONALITY REDUCTION IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

59
08 Oct 2019

Dynamic Mode Decomposition based feature for Image Classification

8 Oct 2019rahulvigneswaran/Dynamic-Mode-Decomposition-based-feature-for-Image-Classification

Irrespective of the fact that Machine learning has produced groundbreaking results, it demands an enormous amount of data in order to perform so.

IMAGE CLASSIFICATION

0
08 Oct 2019

Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

5 Oct 2019arturjordao/IncrementalDimensionalityReduction

Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more discriminative data representation.

DIMENSIONALITY REDUCTION FACE VERIFICATION FEATURE SELECTION IMAGE CLASSIFICATION

1
05 Oct 2019

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks

3 Oct 2019LeoYu/neural-tangent-kernel-UCI

On VOC07 testbed for few-shot image classification tasks on ImageNet with transfer learning (Goyal et al., 2019), replacing the linear SVM currently used with a Convolutional NTK SVM consistently improves performance.

FEW-SHOT IMAGE CLASSIFICATION TRANSFER LEARNING

27
03 Oct 2019

Addressing Failure Prediction by Learning Model Confidence

1 Oct 2019valeoai/ConfidNet

In this paper, we propose a new target criterion for model confidence, corresponding to the True Class Probability (TCP).

IMAGE CLASSIFICATION SEMANTIC SEGMENTATION

13
01 Oct 2019

Meta-learning algorithms for Few-Shot Computer Vision

30 Sep 2019ebennequin/FewShotVision

Few-Shot Learning is the challenge of training a model with only a small amount of data.

FEW-SHOT IMAGE CLASSIFICATION FEW-SHOT LEARNING FEW-SHOT OBJECT DETECTION

35
30 Sep 2019