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 7626–7650 of 10420 papers

TitleStatusHype
Provably Improving Generalization of Few-Shot Models with Synthetic Data—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Inference with Hybrid Bio-hardware Neural Networks—0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers—0
Deep Image Retrieval is not Robust to Label Noise—0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices—0
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting—0
Inductive Transfer for Neural Architecture Optimization—0
Inducing Functions through Reinforcement Learning without Task Specification—0
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks—0
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks—0
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information—0
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers—0
MCU: Improving Machine Unlearning through Mode Connectivity—0
Indoor image representation by high-level semantic features—0
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification—0
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
In-depth Question classification using Convolutional Neural Networks—0
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning—0
Incremental Open-set Domain Adaptation—0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors—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