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

Showing 62516275 of 10420 papers

TitleStatusHype
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA0
Memory Efficient Class-Incremental Learning for Image Classification0
Memory-efficient Patch-based Inference for Tiny Deep Learning0
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis0
Going Deeper Into Face Detection: A Survey0
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification0
Robust Multi-instance Learning with Stable Instances0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition0
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation0
More Side Information, Better Pruning: Shared-Label Classification as a Case Study0
Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification0
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification0
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck0
Distribution-Aware Adaptive Multi-Bit Quantization0
Meta Approach to Data Augmentation Optimization0
Goal-driven text descriptions for images0
Coresets for Robust Training of Neural Networks against Noisy Labels0
Meta-causal Learning for Single Domain Generalization0
A Capsule Network for Hierarchical Multi-Label Image Classification0
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training0
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning0
GmNet: Revisiting Gating Mechanisms From A Frequency View0
Coreset Selection for Object Detection0
GM-Net: Learning Features with More Efficiency0
GM-MLIC: Graph Matching based Multi-Label Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified