Boundary Detection

99 papers with code • 3 benchmarks • 10 datasets

Boundary Detection is a vital part of extracting information encoded in images, allowing for the computation of quantities of interest including density, velocity, pressure, etc.

Source: A Locally Adapting Technique for Boundary Detection using Image Segmentation

Libraries

Use these libraries to find Boundary Detection models and implementations

TextMachina: Seamless Generation of Machine-Generated Text Datasets

genaios/textmachina 8 Jan 2024

Recent advancements in Large Language Models (LLMs) have led to high-quality Machine-Generated Text (MGT), giving rise to countless new use cases and applications.

12
08 Jan 2024

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

punk95/continual-learning-with-curiosity 5 Dec 2023

In this work, we investigate the means of using curiosity on replay buffers to improve offline multi-task continual reinforcement learning when tasks, which are defined by the non-stationarity in the environment, are non labeled and not evenly exposed to the learner in time.

7
05 Dec 2023

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

whu-usi3dv/mobile-seed 21 Nov 2023

Our framework features a two-stream encoder, an active fusion decoder (AFD) and a dual-task regularization approach.

98
21 Nov 2023

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding

tb2-sy/tsp-transformer 6 Nov 2023

Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth estimation, etc.

5
06 Nov 2023

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

Antarlekhaka/code 11 Oct 2023

In this paper, we present Antarlekhaka, a tool for manual annotation of a comprehensive set of tasks relevant to NLP.

4
11 Oct 2023

Local Compressed Video Stream Learning for Generic Event Boundary Detection

gx77/lcvsl 27 Sep 2023

Specifically, we use lightweight ConvNets to extract features of the P-frames in the GOPs and spatial-channel attention module (SCAM) is designed to refine the feature representations of the P-frames based on the compressed information with bidirectional information flow.

6
27 Sep 2023

OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation

yl596/otas 12 Sep 2023

In this paper, we explore the merits of local features by proposing the unsupervised framework of Object-centric Temporal Action Segmentation (OTAS).

0
12 Sep 2023

Self-Similarity-Based and Novelty-based loss for music structure analysis

geoffroypeeters/ssmnet_ISMIR2023 5 Sep 2023

Music Structure Analysis (MSA) is the task aiming at identifying musical segments that compose a music track and possibly label them based on their similarity.

11
05 Sep 2023

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

oroszgy/spacy-hungarian-models 24 Aug 2023

This paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy.

144
24 Aug 2023

A Unified Query-based Paradigm for Camouflaged Instance Segmentation

dongbo811/uqformer 14 Aug 2023

Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization and instance segmentation.

3
14 Aug 2023