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Found 15 papers, 5 papers with code
Single Bitmap Block Truncation Coding of Color Images Using Hill Climbing Algorithm
Compared with various schemes, the simulation results of the proposed scheme are better than that of the reference schemes in visual quality and time consumption.
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
To this end, we introduce a new commonsense reasoning benchmark dataset comprising natural language true/false statements, with each sample paired with its complementary counterpart, resulting in 4k sentence pairs.
On Measures of Biases and Harms in NLP
Recent studies show that Natural Language Processing (NLP) technologies propagate societal biases about demographic groups associated with attributes such as gender, race, and nationality.
AI-based thermal bridge detection of building rooftops on district scale using aerial images
With a neural network approach, we demonstrate a method of automatically detecting thermal bridges on building rooftops from panorama drone images of whole city districts.
Ranked #5 on
Instance Segmentation
on TBBR
Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
For ground material segmentation, we utilized an existing convolutional neural network architecture (i. e., 3DMV) which was originally designed for segmenting RGB-D sensed indoor data.
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
Specifically, we introduce a synthetic aerial photogrammetry point clouds generation pipeline that takes full advantage of open geospatial data sources and off-the-shelf commercial packages.
Helpfulness and Fairness of Task-Oriented Dialogue Systems
Then, we collect human annotations for the helpfulness of dialogue responses based on our definition and build a classifier to automatically determine the helpfulness of a response.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models.
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
The discovery of community structures in social networks has gained considerable attention as a fundamental problem for various network analysis tasks.
Deep learning approaches to building rooftop thermal bridge detection from aerial images
Thermal bridges are weak points of building envelopes that can lead to energy losses, collection of moisture, and formation of mould in the building fabric.
Ranked #1 on
Object Detection
on TBBR
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
In social networks, the discovery of community structures has received considerable attention as a fundamental problem in various network analysis tasks.
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare
It has gained significant attention in the field of Natural Language Processing (NLP) due to its ability to learn optimal strategies for tasks such as dialogue systems, machine translation, and question-answering.
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems.
A New Method of Pixel-level In-situ U-value Measurement for Building Envelopes Based on Infrared Thermography
The potential energy loss of aging buildings traps building owners in a cycle of underfunding operations and overpaying maintenance costs.
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
A recent study has shown that diffusion models are well-suited for modeling the generative process of user-item interactions in recommender systems due to their denoising nature.
