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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8151–8175 of 10420 papers

TitleStatusHype
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models—0
Impact of Colour Variation on Robustness of Deep Neural Networks—0
Impact of Batch Normalization on Convolutional Network Representations—0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation—0
Impact of base dataset design on few-shot image classification—0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm—0
Impact of Attention on Adversarial Robustness of Image Classification Models—0
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images—0
Impact of Aliasing on Generalization in Deep Convolutional Networks—0
Decentralized SGD with Over-the-Air Computation—0
Immuno-mimetic Deep Neural Networks (Immuno-Net)—0
Robust Classification using Robust Feature Augmentation—0
Automated Robustness with Adversarial Training as a Post-Processing Step—0
IM-Loss: Information Maximization Loss for Spiking Neural Networks—0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation—0
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks—0
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification—0
Decentralized Federated Learning Over Imperfect Communication Channels—0
Robust Domain-Free Domain Generalization with Class-aware Alignment—0
All-Optical Information Processing Capacity of Diffractive Surfaces—0
Robust Federated Learning: The Case of Affine Distribution Shifts—0
Adaptive Adversarial Logits Pairing—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
StackMix: A complementary Mix algorithm—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified