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 8801–8850 of 10420 papers

TitleStatusHype
Adaptively Connected Neural NetworksCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification—0
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning—0
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift—0
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 HoursCode0
Relation-Aware Global Attention for Person Re-identificationCode0
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning—0
On Direct Distribution Matching for Adapting Segmentation Networks—0
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification—0
Video Classification with Channel-Separated Convolutional NetworksCode0
Correlation Congruence for Knowledge DistillationCode0
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions—0
A Comprehensive Overhaul of Feature DistillationCode0
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition—0
Looking back at Labels: A Class based Domain Adaptation TechniqueCode0
Exploring Randomly Wired Neural Networks for Image RecognitionCode0
Weakly Supervised Object Detection with Segmentation Collaboration—0
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot LearningCode0
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration—0
Training Quantized Neural Networks with a Full-precision Auxiliary Module—0
SRM : A Style-based Recalibration Module for Convolutional Neural NetworksCode0
DetNAS: Backbone Search for Object DetectionCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
On evaluating CNN representations for low resource medical image classification—0
A geometry-inspired decision-based attackCode0
Improving Sample Complexity with Observational Supervision—0
Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationCode0
The LogBarrier adversarial attack: making effective use of decision boundary informationCode0
Automated Classification of Histopathology Images Using Transfer LearningCode0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework—0
1D-Convolutional Capsule Network for Hyperspectral Image Classification—0
sharpDARTS: Faster and More Accurate Differentiable Architecture SearchCode0
Enhancing Generalization of First-Order Meta-Learning—0
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image ClassificationCode0
Calibrated Top-1 Uncertainty estimates for classification by score based modelsCode0
Learning Disentangled Representations of Satellite Image Time Series—0
Convolution with even-sized kernels and symmetric paddingCode0
Deep Octonion Networks—0
Class-incremental Learning via Deep Model ConsolidationCode0
Low-Rank Discriminative Least Squares Regression for Image Classification—0
Probabilistic End-to-end Noise Correction for Learning with Noisy LabelsCode0
Fisher Discriminative Least Squares Regression for Image ClassificationCode0
An Effective Label Noise Model for DNN Text Classification—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
Domain Generalization by Solving Jigsaw PuzzlesCode0
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism—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