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Instance Search

Visual Instance Search is the task of retrieving from a database of images the ones that contain an instance of a visual query. It is typically much more challenging than finding images from the database that contain objects belonging to the same category as the object in the query. If the visual query is an image of a shoe, visual Instance Search does not try to find images of shoes, which might differ from the query in shape, color or size, but tries to find images of the exact same shoe as the one in the query image. Visual Instance Search challenges image representations as the features extracted from the images must enable such fine-grained recognition despite variations in viewpoints, scale, position, illumination, etc. Whereas holistic image representations, where each image is mapped to a single high-dimensional vector, are sufficient for coarse-grained similarity retrieval, local features are needed for instance retrieval.

Source: Dynamicity and Durability in Scalable Visual Instance Search

Papers

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Showing 1–29 of 29 papers

TitleStatusHype
Data-efficient End-to-end Information Extraction for Statistical Legal AnalysisCode1
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domainsCode1
Faster R-CNN Features for Instance SearchCode0
Bags of Local Convolutional Features for Scalable Instance SearchCode0
Class-Weighted Convolutional Features for Visual Instance SearchCode0
Confidence-Aware Active Feedback for Interactive Instance SearchCode0
GlobalTrack: A Simple and Strong Baseline for Long-term TrackingCode0
Saliency Weighted Convolutional Features for Instance SearchCode0
The Effect of Points Dispersion on the k-nn Search in Random Projection ForestsCode0
Attributes and Categories for Generic Instance Search From One Example—0
Deep Learning for Instance Retrieval: A Survey—0
Deeply Activated Salient Region for Instance Search—0
Deep Region Hashing for Efficient Large-scale Instance Search from Images—0
Detecting Uncertainty Cues in Hungarian Social Media Texts—0
An evaluation of large-scale methods for image instance and class discovery—0
Generic Instance Search and Re-identification from One Example via Attributes and Categories—0
Towards Accurate Localization by Instance Search—0
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos—0
Instance Search via Instance Level Segmentation and Feature Representation—0
Learning Non-Metric Visual Similarity for Image Retrieval—0
Locality in Generic Instance Search from One Example—0
Moving towards a Functional Approach in the Flemish Sign Language Dictionary Making Process—0
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning—0
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval—0
Class Agnostic Instance-level Descriptor for Visual Instance Search—0
Siamese Instance Search for Tracking—0
Compressive Quantization for Fast Object Instance Search in Videos—0
whu-nercms at trecvid2021:instance search task—0
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval—0
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