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 7601–7625 of 10420 papers

TitleStatusHype
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms—0
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation—0
Quantum machine learning for image classification—0
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access—0
Random Forests and VGG-NET: An Algorithm for the ISIC 2017 Skin Lesion Classification Challenge—0
Food Classification using Joint Representation of Visual and Textual Data—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification—0
Explanation of Unintended Radiated Emission Classification via LIME—0
Learning from Web Data with Self-Organizing Memory Module—0
Active Data Discovery: Mining Unknown Data using Submodular Information Measures—0
FolkTalent: Enhancing Classification and Tagging of Indian Folk Paintings—0
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration—0
Constrained deep neural network architecture search for IoT devices accounting hardware calibration—0
Prototypical Region Proposal Networks for Few-Shot Localization and Classification—0
Pro-tuning: Unified Prompt Tuning for Vision Tasks—0
Explicit Connection Distillation—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
Provable Robustness for Streaming Models with a Sliding Window—0
Trade-offs between membership privacy & adversarially robust learning—0
Provable Uncertainty Decomposition via Higher-Order Calibration—0
Explicitly Modeled Attention Maps for Image Classification—0
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery—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