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 6301–6350 of 10420 papers

TitleStatusHype
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—0
Learning rich optical embeddings for privacy-preserving lensless image classification—0
Learning Representations of Graph Data -- A Survey—0
Learning Representation in Colour Conversion—0
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation—0
Analyzing Images for Music Recommendation—0
Adaptive Temperature Scaling with Conformal Prediction—0
Learning Receptive Fields for Pooling from Tensors of Feature Response—0
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks—0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning—0
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness—0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification—0
Analyzing Filters Toward Efficient ConvNet—0
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members—0
Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition—0
Dermoscopic Image Classification with Neural Style Transfer—0
Microscopic fine-grained instance classification through deep attention—0
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification—0
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification—0
Depthwise-STFT based separable Convolutional Neural Networks—0
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels—0
Learning Multiple Non-linear Sub-spaces Using K-RBMs—0
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
MinConvNets: A new class of multiplication-less Neural Networks—0
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization—0
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks—0
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment—0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread—0
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
A Classifier-guided Approach for Top-down Salient Object Detection—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Learning More Discriminative Local Descriptors for Few-shot Learning—0
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding—0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach—0
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning—0
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Learning Mask Invariant Mutual Information for Masked Image Modeling—0
Learning Loss for Test-Time Augmentation—0
Learning Long Sequences in Spiking Neural Networks—0
Learning Longer-term Dependencies in RNNs with Auxiliary Losses—0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models—0
Depth Estimation with Simplified Transformer—0
Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets—0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation—0
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective—0
Show:102550
← PrevPage 127 of 209Next →
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