SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 21912200 of 10420 papers

TitleStatusHype
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy LabelsCode1
Wavelet Convolutional Neural NetworksCode1
Robust Classification with Convolutional Prototype LearningCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
BAGAN: Data Augmentation with Balancing GANCode1
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified