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 7351–7375 of 10420 papers

TitleStatusHype
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?—0
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification TaskCode0
Does Data Augmentation Benefit from Split BatchNorms—0
LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification—0
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling—0
Improved Multi-Source Domain Adaptation by Preservation of Factors—0
Ferrograph image classification—0
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning ModelsCode0
An Evasion Attack against Stacked Capsule AutoencoderCode0
Deep Ensembles for Low-Data Transfer Learning—0
Human-interpretable model explainability on high-dimensional data—0
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization—0
Are all negatives created equal in contrastive instance discrimination?—0
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection—0
Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank EstimationCode0
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification—0
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing—0
Satellite Image Classification with Deep Learning—0
CC-Loss: Channel Correlation Loss For Image Classification—0
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic GraphCode0
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification—0
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers—0
ByzShield: An Efficient and Robust System for Distributed TrainingCode0
Block-term Tensor Neural Networks—0
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization—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