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'Rahul lacks consistency': Anti-Congress posters surface as INDIA bloc meets
Ahead of the INDIA bloc meeting scheduled in the national capital on Monday, posters targeting leader of opposition Rahul Gandhi surfaced at several roundabouts across New Delhi, spotlighting past criticisms of the Congress leader by some of his current allies. The posters featured remarks previously made by leaders including NCP (SCP) chief Sharad Pawar, TMC supremo Mamata Banerjee, DMK leader Udhayanidhi Stalin and AAP convenor Arvind Kejriwal against Rahul Gandhi and the Congress party....
Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills
arXiv:2605.31321v1 Announce Type: new Abstract: Diffusion-based imitation learning methods have driven rapid progress in robot dexterous manipulation tasks. However, they have limitations when applied to tasks that involve complex free-form surface constraints because of their lack of explicit surface geometry constraint modeling and the dynamic feasibility issue, resulting in stochastic action generation that fails to achieve reliable surface alignment and maintain stable contact. To...
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Announce Type: new Abstract: Chunked-document retrieval is a common component of retrieval-augmented generation (RAG) systems. Documents are split into overlapping chunks, embedded, and indexed with approximate nearest-neighbor search such as hierarchical navigable small world graphs (HNSW). Overlap improves boundary coverage but induces a practical failure mode: top-k retrieval often returns near-adjacent chunks that repeat evidence and waste prompt budget.
SemDINO: A DINOv3-Driven Network for Cross-Temporal Semantic Alignment in Change Detection
arXiv:2606.09772v1 Announce Type: new Abstract: Semantic change detection (SCD) aims to simultaneously locate land-cover changes and identify semantic categories before and after transition. However, existing methods suffer from insufficient cross-temporal alignment, weak multi-scale representation, and poor robustness to pseudo-changes caused by illumination, season, and registration noise. To address these issues, we propose a novel end-to-end semantic change detection network named...