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

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Showing 8151–8200 of 10420 papers

TitleStatusHype
Impact of Light and Shadow on Robustness of Deep Neural Networks—0
Decision Propagation Networks for Image Classification—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning—0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation—0
Impact of Feedback Type on Explanatory Interactive Learning—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
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
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
Robust Classification using Robust Feature Augmentation—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
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation—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 Domain-Free Domain Generalization with Class-aware Alignment—0
Automated Robustness with Adversarial Training as a Post-Processing Step—0
Robust Federated Learning: The Case of Affine Distribution Shifts—0
IM-Loss: Information Maximization Loss for Spiking Neural Networks—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
All-Optical Information Processing Capacity of Diffractive Surfaces—0
Adaptive Adversarial Logits Pairing—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks—0
StackMix: A complementary Mix algorithm—0
Imbalanced Malware Images Classification: a CNN based Approach—0
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Robust and Accurate Authorship Attribution via Program Normalization—0
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos—0
Robust Long-Tailed Learning under Label Noise—0
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification—0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Imaging with Equivariant Deep Learning—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
Image Segmentation Using Overlapping Group Sparsity—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Retrieval based on Bag-of-Words model—0
DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging—0
Image Retrieval And Classification Using Local Feature Vectors—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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